{"id":"W6925533187","doi":"10.17882/82098","title":"TERIFIC Ocean Glider Deployments in the Labrador Sea","year":2019,"lang":"en","type":"dataset","venue":"SEANOE","topic":"Leadership, Behavior, and Decision-Making Studies","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glider; Underwater glider; Bay; Submarine pipeline; Backscatter (email); On board; Fishing; Sampling (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00417667,0.0005555988,0.0008756981,0.0006842079,0.0003011306,0.0009440323,0.004097887,0.0004081132,0.0008779619],"category_scores_gemma":[0.002863793,0.0003094414,0.0003283859,0.001289275,0.0002502008,0.0003073006,0.0005902683,0.0009079447,0.008627941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067555,"about_ca_system_score_gemma":0.000198706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003579425,"about_ca_topic_score_gemma":0.0008223596,"domain_scores_codex":[0.9920831,0.0007973736,0.001132545,0.00128148,0.003982944,0.0007225502],"domain_scores_gemma":[0.992502,0.003591849,0.0004912384,0.003071975,0.0002396388,0.0001033272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003078132,0.0001426251,0.00330199,0.00001351837,0.00002242805,0.000176418,0.0008662419,0.000006394176,7.343965e-7,0.000006607225,0.9919547,0.003477541],"study_design_scores_gemma":[0.0004303745,0.00008305194,0.006196572,0.000107542,0.00005456912,0.00001862917,0.005057402,0.000007522753,0.000003159072,0.0009590019,0.9866813,0.0004008106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01201498,0.0007069141,0.000008822972,0.001661411,0.003455454,0.0008046665,0.9807351,0.0000404245,0.0005722191],"genre_scores_gemma":[0.05059236,0.0003578604,0.000168787,0.008706615,0.001433337,0.0000781644,0.9235393,0.0001318534,0.01499168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05719576,"threshold_uncertainty_score":0.9999357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1853508939741938,"score_gpt":0.4216310538925797,"score_spread":0.2362801599183859,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}